Christina is a Senior Research Fellow within the Health Workforce and Systems theme in Health Sciences. She has been researching nurse staffing since 2017 using quantitative methods such as multi-level regression and simulation modelling. This work has been funded predominantly by the National Institute for Health Research (NIHR).
Christina’s background is in Operational Research, the branch of Mathematics that uses advanced quantitative techniques to help make better decisions. She is interested in how Operational Research techniques can be applied to decisions in healthcare, particularly staffing decisions.
- Safe staffing
- Operational research techniques applied to healthcare
- Health workforce
Currently Christina is funded by the School of Health Sciences Fellowship. She is the principal investigator on a project investigating whether nursing workload can be predicted from electronic health records (PREDICT-NURSE feasibility) and a workpackage lead on two studies: i) investigating intensive care unit staffing (SEISMIC-R) and ii) improving the peri-operative pathway (SORT-IT).
Alongside this she is working to promote the team’s research and influence practice including work with NHS Improvement to update staffing guidance (Professional judgement framework: a guide to applying professional judgement in nurse staffing reviews - ePrints Soton) and being Lead Editor of Evidence Briefs that are published in the Nursing Times.
My teaching interests span research methods including critical appraisal/literature review, quantitative techniques (in particular operational research/data science) and safe staffing/health workforce. Current teaching responsibilities:
- Undergraduate nursing dissertation seminar lead and supervisor
- Masters nursing dissertation seminar lead and supervisor
- Dean's Prize for Citizenship (2021)
- School of Health Sciences Fellowship (2023)